Editorial: Technology and innovation management: past research, present findings and future directions

2006 ◽  
Vol 35 (1/2/3/4) ◽  
pp. 1 ◽  
Author(s):  
Mariano Nieto ◽  
Jose E. Navas
Keyword(s):  
Innovation Management ◽  
Past Research ◽  
Future Directions ◽  
Technology And Innovation

scholarly journals Are rigor and transparency enough? Review and future directions for case studies in technology and innovation Management

2020 ◽  
Vol 50 (3) ◽  
pp. 309-328 ◽  
Author(s):  
Ziad Elsahn ◽  
Lisa Callagher ◽  
Kenneth Husted ◽  
Stefan Korber ◽  
Frank Siedlok
Keyword(s):  
Case Studies ◽  
Innovation Management ◽  
Future Directions ◽  
Technology And Innovation

scholarly journals Tracking the continuous dynamics of numerical processing: A brief review and editorial

2018 ◽  
Author(s):  
Thomas J. Faulkenberry ◽  
Matthias Witte ◽  
Matthias Hartmann
Keyword(s):  
Numerical Cognition ◽  
Mental Arithmetic ◽  
Special Section ◽  
Past Research ◽  
Number Processing ◽  
Hand Tracking ◽  
Single Digit ◽  
Future Directions ◽  
Numerical Processing ◽  
Computer Mouse

Many recent studies in numerical cognition have moved beyond the use of purely chronometric techniques in favor of methods which track the continuous dynamics of numerical processing. Two examples of such techniques include eye tracking and hand tracking (or computer mouse tracking). To reflect this increased concentration on continuous methods, we have collected a group of 5 articles that utilize these techniques to answer some contemporary questions in numerical cognition. In this editorial, we discuss the two paradigms and provide a brief review of some of the work in numerical cognition that has profited from the use of these techniques. For both methods, we discuss the past research through the frameworks of single digit number processing, multidigit number processing, and mental arithmetic processing. We conclude with a discussion of the papers that have been contributed to this special section and point to some possible future directions for researchers interested in tracking the continuous dynamics of numerical processing.

scholarly journals Digital culture

2021 ◽  
Author(s):  
Alberto Acerbi
Keyword(s):  
Digital Media ◽  
Cultural Evolution ◽  
Cultural Transmission ◽  
Past Research ◽  
Digital Culture ◽  
Cultural Dynamics ◽  
Cumulative Culture ◽  
Future Directions

Cultural evolution can provide a useful framework to understand how information is produced, transmitted, and selected in contemporary online, digital, media. The diffusion of digital technologies triggered a radical departure from previous modalities of cultural transmission but, at the same time, general characteristics of human cultural evolution and cognition influence these developments. In this chapter, I will explore some areas where the links between cultural evolution research and digital media seem more promising. As cultural evolution-inspired research on internet phenomena is still in its infancy, these areas represent suggestions and links with works in other disciplines more than reviews of past research in cultural evolution. These include topics such as how to characterise the online effects of social influence and the spread of information; the possibility that digital, online, media could enhance cumulative culture; and the differences between online and offline cultural transmission. In the last section I will consider other possible future directions: the influences of different affordances in different media supporting cultural transmission; the role of producers of cultural traits; and, finally, some considerations on the effects on cultural dynamics of algorithms selecting information.

Open Innovation

2020 ◽  
Author(s):  
Jennifer Kuan
Keyword(s):  
Open Innovation ◽  
Business Models ◽  
Innovation Management ◽  
Large Firms ◽  
Technology And Innovation ◽  
Innovation Practices ◽  
Annual World ◽  
Numerous Journal

Open Innovation, published in 2003, was a ground-breaking work by Henry Chesbrough that placed technology and innovation at the center of attention for managers of large firms. The term open innovation refers to the ways in which firms can generate and commercialize innovation by engaging outside entities. The ideas have attracted the notice of scholars, spawning annual world conferences and a large literature in technology and innovation management (including numerous journal special issues) that documents diverse examples of innovations and the often novel business models needed to make the most of those innovations. The role of business models in open innovation is the focus of Open Business Models, Chesbrough’s 2006 follow-up to Open Innovation. Managers have likewise flocked to Chesbrough’s approach, as the hundreds of thousands of hits from an online search using the term open innovation can attest. Surveys show that the majority of large firms were engaging in open innovation practices in 2017, compared to only 20% in 2003 when Open Innovation was published.

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